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PAMI
2008
161views more  PAMI 2008»
14 years 10 months ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
ICASSP
2009
IEEE
14 years 7 months ago
Intensity vector direction exploitation for exhaustive blind source separation of convolutive mixtures
This article presents a technique that uses the intensity vector direction exploitation (IVDE) method for exhaustive separation of convolutive mixtures. While only a four-element ...
Banu Gunel, Hüseyin Hacihabiboglu, Ahmet M. K...
ICCS
2005
Springer
15 years 3 months ago
Heuristic Algorithm for Anycast Flow Assignment in Connection-Oriented Networks
Abstract. Replication of content on geographically distributed servers can improve both performance and reliability of the Web service. Anycast is a one-toone-of-many delivery tech...
Krzysztof Walkowiak
WWW
2004
ACM
15 years 10 months ago
Unsupervised learning of soft patterns for generating definitions from online news
Breaking news often contains timely definitions and descriptions of current terms, organizations and personalities. We utilize such web sources to construct definitions for such t...
Hang Cui, Min-Yen Kan, Tat-Seng Chua
SDM
2004
SIAM
214views Data Mining» more  SDM 2004»
14 years 11 months ago
Making Time-Series Classification More Accurate Using Learned Constraints
It has long been known that Dynamic Time Warping (DTW) is superior to Euclidean distance for classification and clustering of time series. However, until lately, most research has...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh